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Staff AI Engineer - Graphing

Datadog
Full-time
On-site
Baltimore
$234,000 - $234,000 USD yearly
We’re looking for a Staff Software Engineer with deep experience in AI/ML to join Datadog’s Graphing organization. The Graphing organization develops Datadog’s suite of core tools: Dashboards for flexible display of live display of real-time insights, Notebooks for collaborative investigations and technical documentation, Sheets for manual curation of tabular data, search capabilities powering user queries, and powerful data-visualization toolkits that are used across Datadog. This role requires a technical leader with deep AI/ML expertise to help power these workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. You will work with leaders to identify and prioritize opportunities to apply GenAI models in graphing workflows. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a leadership track record who can help us excel in this exciting new domain. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do:

Act as a technical leader driving GenAI/ML projects from concept to production. Build and benchmark GenAI/ML models using state-of-the-art techniques. Establish a high standard of technical excellence for ML development in Graphing Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups Influence product direction by bringing a strong product mindset to your work, always advocating for the end user Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction Who You Are:

You have a BS/MS/PhD in a scientific field or equivalent experience 10+ years of relevant engineering experience, as well as experience acting as a technical lead Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment You have significant experience in model deployment, development, training, fine-tuning, and evaluation Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges Benefits and Growth:

Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $234,000—$300,000 USD About Datadog:

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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